Our TACF is implemented with Matlab 2018a, and all the experiments are evaluated on a PC equipped with Intel i7-8700K CPU (3.7GHz) and NVIDIA GeForce RTX 2080 GPU.
The TACF tracker employs two hand-crafted features, i.e., histograms of gradients [1]} and color names [2]}, to represent object and context patches.
The regularization parameter \( \lambda _1 \)  and \( \lambda _2 \)  is set to \( 5 \times 10^{-5} \)  and \( 0.0625 \) , respectively.
The interval for context learning \( f_c \)  and the number of context patches \(S\)  are set as 2 and 4.
Details of the TACF tracker can be seen in alg:TACFtracker.
All parameters are fixed for all the experiments.
